Exemplo n.º 1
0
def _get_gen_results_3ph(net, ppc0, ppc1, ppc2, bus_lookup_aranged, pq_bus):
    ac = net["_options"]["ac"]

    eg_end = len(net['ext_grid'])
    gen_end = eg_end + len(net['gen'][net['_is_elements']['gen']])

    b, pA, qA, pB, qB, pC, qC = _get_ext_grid_results_3ph(
        net, ppc0, ppc1, ppc2)

    # get results for gens
    if gen_end > eg_end:
        b, pA, qA, pB, qB, pC, qC = _get_pp_gen_results_3ph(
            net, ppc0, ppc1, ppc2, b, pA, qA, pB, qB, pC, qC)

    if not ac:
        qA, qB, qC = np.copy((np.zeros(len(pA)), ) * 3)

    b_pp, pA_sum, qA_sum, pB_sum, qB_sum, pC_sum, qC_sum = _sum_by_group_nvals(
        b.astype(int), pA, qA, pB, qB, pC, qC)
    b_ppc = bus_lookup_aranged[b_pp]
    pq_bus[b_ppc, 0] -= pA_sum
    pq_bus[b_ppc, 1] -= qA_sum
    pq_bus[b_ppc, 2] -= pB_sum
    pq_bus[b_ppc, 3] -= qB_sum
    pq_bus[b_ppc, 4] -= pC_sum
    pq_bus[b_ppc, 5] -= qC_sum
Exemplo n.º 2
0
def _get_p_q_results_3ph(net, bus_lookup_aranged):
    # results to be filled (bus, p in kw, q in kvar)
    bus_pq = np.zeros(shape=(len(net["bus"].index), 6), dtype=np.float)
    b, pA, pB, pC, qA, qB, qC = np.array([]), np.array([]), np.array([]), np.array([]), \
                                np.array([]), np.array([]), np.array([])

    ac = net["_options"]["ac"]
    # Todo: Voltage dependent loads
    elements = ["storage", "sgen", "load"]
    elements_3ph = ["asymmetric_load", "asymmetric_sgen"]
    for element in elements:
        sign = -1 if element in ['sgen', 'asymmetric_sgen'] else 1
        if len(net[element]):
            write_pq_results_to_element(net, net._ppc1, element, suffix="3ph")
            p_el, q_el, bus_el = get_p_q_b(net, element, suffix="3ph")
            pA = np.hstack([pA, sign * p_el / 3])
            pB = np.hstack([pB, sign * p_el / 3])
            pC = np.hstack([pC, sign * p_el / 3])
            qA = np.hstack(
                [qA, sign * q_el / 3 if ac else np.zeros(len(p_el / 3))])
            qB = np.hstack(
                [qB, sign * q_el / 3 if ac else np.zeros(len(p_el / 3))])
            qC = np.hstack(
                [qC, sign * q_el / 3 if ac else np.zeros(len(p_el / 3))])
            b = np.hstack([b, bus_el])
    for element in elements_3ph:
        sign = -1 if element in ['sgen', 'asymmetric_sgen'] else 1
        if len(net[element]):
            write_pq_results_to_element_3ph(net, element)
            p_el_A, q_el_A, p_el_B, q_el_B, p_el_C, q_el_C, bus_el = get_p_q_b_3ph(
                net, element)
            pA = np.hstack([pA, sign * p_el_A])
            pB = np.hstack([pB, sign * p_el_B])
            pC = np.hstack([pC, sign * p_el_C])
            qA = np.hstack(
                [qA, sign * q_el_A if ac else np.zeros(len(p_el_A))])
            qB = np.hstack(
                [qB, sign * q_el_B if ac else np.zeros(len(p_el_B))])
            qC = np.hstack(
                [qC, sign * q_el_C if ac else np.zeros(len(p_el_C))])
            b = np.hstack([b, bus_el])

    # sum pq results from every element to be written to net['bus'] later on
    b_pp, vp_A, vq_A, vp_B, vq_B, vp_C, vq_C = _sum_by_group_nvals(
        b.astype(int), pA, qA, pB, qB, pC, qC)
    b_ppc = bus_lookup_aranged[b_pp]
    bus_pq[b_ppc, 0] = vp_A
    bus_pq[b_ppc, 1] = vq_A
    bus_pq[b_ppc, 2] = vp_B
    bus_pq[b_ppc, 3] = vq_B
    bus_pq[b_ppc, 4] = vp_C
    bus_pq[b_ppc, 5] = vq_C
    return bus_pq
Exemplo n.º 3
0
def _get_gen_results_3ph(net, ppc0, ppc1, ppc2, bus_lookup_aranged, pq_bus):
    ac = net["_options"]["ac"]

    eg_end = len(net['ext_grid'])
    gen_end = eg_end + len(net['gen'][net['_is_elements']['gen']])

    b, pA, qA, pB, qB, pC, qC = _get_ext_grid_results_3ph(
        net, ppc0, ppc1, ppc2)

    # get results for gens
    if gen_end > eg_end:
        b, pA, qA, pB, qB, pC, qC = _get_pp_gen_results_3ph(
            net, ppc0, ppc1, ppc2, b, pA, qA, pB, qB, pC, qC)

    if len(net.dcline) > 0:
        _get_dcline_results(net)
        b = np.hstack([b, net.dcline[["from_bus", "to_bus"]].values.flatten()])
        pDC = -net.res_dcline[["p_from_mw", "p_to_mw"]].values.flatten() / 3
        pA = np.hstack([pA, pDC])
        pB = np.hstack([pB, pDC])
        pC = np.hstack([pC, pDC])
        qDC = -net.res_dcline[["q_from_mvar", "q_to_mvar"
                               ]].values.flatten() / 3
        qA = np.hstack([qA, qDC])
        qB = np.hstack([qB, qDC])
        qC = np.hstack([qC, qDC])

    if not ac:
        qA, qB, qC = np.copy((np.zeros(len(pA)), ) * 3)

    b_pp, pA_sum, qA_sum, pB_sum, qB_sum, pC_sum, qC_sum = _sum_by_group_nvals(
        b.astype(int), pA, qA, pB, qB, pC, qC)
    b_ppc = bus_lookup_aranged[b_pp]
    pq_bus[b_ppc, 0] += pA_sum
    pq_bus[b_ppc, 1] += qA_sum
    pq_bus[b_ppc, 2] += pB_sum
    pq_bus[b_ppc, 3] += qB_sum
    pq_bus[b_ppc, 4] += pC_sum
    pq_bus[b_ppc, 5] += qC_sum